scholarly journals The relationship between pheromone trap catch and local population density of the oak processionary moth Thaumetopoea processionea (Lepidoptera: Thaumetopoeidae)

2019 ◽  
Vol 21 (4) ◽  
pp. 424-430 ◽  
Author(s):  
Nigel A. Straw ◽  
Andrew Hoppit ◽  
Julia Branson
2021 ◽  
Author(s):  
Ksenia S. Onufrieva ◽  
Alexey V. Onufriev

AbstractAbility to estimate local population density of an insect is critical in many fields, from pest management to conservation. No method currently exists that reliably connects trap catch with the insect population density, including the corresponding uncertainty. Here we report a simple and universal predictive relationship for a probability of catching an insect located a given distance away from the trap. This relationship allows to estimate, from a single catch, the most likely population density along with its statistical upper and lower bounds. To test the generality of this equation we used 10 distinct trapping data sets collected on insects from 5 different orders and major trapping methods: chemical-baited and light. For all of the datasets the equation faithfully describes the relationship between location of an insect and probability to catch it. The ability to estimate absolute population density from a single trap catch will significantly improve our understanding of insect population dynamics and allow for more effective research, management, and conservation programs.


Author(s):  
Yevhen F. Suprunenko ◽  
Matthew D. Castle ◽  
Cerian R. Webb ◽  
Julia Branson ◽  
Andrew Hoppit ◽  
...  

2021 ◽  
Author(s):  
Claire Beverley

Abstract T. processionea, commonly known as the oak processionary moth, is a major pest in many European countries and threatens the health of oak trees. The common and scientific names of T. processionea refer to the behaviour of the larvae to form long processions. The larvae cause severe defoliation, reducing the viability of oak trees. They also pose a risk to both human and animal health because they shed poisonous hairs, which can result in severe allergic reactions, amongst other health problems. The moth is native to central and southern Europe but is now present in almost all European countries and also in parts of the Middle East. EPPO issued a Pest Risk Analysis in 2007 for the UK in response to infestations of the species in Europe from 2006. At this time, infestations of the moth were observed on a range of oak (Quercus) species in London. The adult males are strong fliers and can fly long distances, such as from France to the UK (Evans, 2007). Host plants of this pest include many species of deciduous Quercus, and to a much lesser degree, Betula, Carpinus, Castanea, Corylus, Crataegus, Robinia and Fagus; plants commonly found in forests, woods or ornamental plantations in the UK, for example (Evans, 2007). Therefore, areas where these plants are present and offer a suitable climate for pest development are likely to be under threat from T. processionea. Various pines have been reported as hosts, but such records are suspect and are probably the result of confusion with the pine processionary (Thaumetopoea pityocampa).


2015 ◽  
Vol 177 (3) ◽  
pp. 79.2-79 ◽  
Author(s):  
Amanda Carson ◽  
Richard Irvine ◽  
Aiden P. Foster

Insects ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 932
Author(s):  
Ksenia S. Onufrieva ◽  
Alexey V. Onufriev

Knowledge of insect population density is crucial for establishing management and conservation tactics and evaluating treatment efficacies. Here, we propose a simple and universal method for estimating the most probable absolute population density and its statistical bounds. The method is based on a novel relationship between experimentally measurable characteristics of insect trap systems and the probability to catch an insect located a given distance away from the trap. The generality of the proposed relationship is tested using 10 distinct trapping datasets collected for insects from 5 different orders and using major trapping methods, i.e., chemical-baited traps and light. For all datasets, the relationship faithfully (R=0.91) describes the experiment. The proposed approach will take insect detection and monitoring to a new, rigorously quantitative level. It will improve conservation and management, while driving future basic and applied research in population and chemical ecology.


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